The Analysis of Spatial Distribution of Tourist Accommodation in Chiang Mai City
DOI:
https://doi.org/10.14456/bei.2025.9คำสำคัญ:
Spatial analysis, tourism, tourist accommodation, Chiang Mai City, Airbnbบทคัดย่อ
This study examines the spatial distribution patterns and factors influencing the density of three tourist accommodation types in Chiang Mai City: hotels, non-hotels (e.g., small accommodations such as hostels and guesthouses), and Airbnb rentals. Spatial distribution patterns were analyzed using Moran’s I index, while factors influencing accommodation density were evaluated through spatial regression analysis. The findings indicated significant clustering and overlap among all types of tourist accommodations within the city center, with hotels and non-hotels exhibiting particularly high concentrations. Airbnb rentals were more geographically dispersed across the city than hotels and non-hotels but still showed a notable concentration within the city center. Key factors influencing hotel density included proximity to popular tourist attractions and location within the old city area. In contrast, the density of Airbnb accommodation was more strongly associated with the presence of tourism-related services and facilities, such as shopping malls and cafes. These findings underscore the importance of integrating the distinct spatial patterns of various accommodation types into future planning and zoning policies. Such an approach is crucial for effectively regulating urban tourism expansion, mitigating the adverse impacts of overtourism, and preserving the local community’s well-being and quality of life.
เอกสารอ้างอิง
Adamiak, C., Szyda, B., Dubownik, A., & Álvarez, D. (2019). Airbnb Offer in Spain - Spatial Analysis of the Pattern and Determinants of Its Distribution. ISPRS Int. J. Geo Inf., 8(3), 155. doi:10.3390/IJGI8030155
AirDNA. (2024a). Market Overview: Chiang Mai. Retrieved from https://app.airdna.co/data/th/55?lat=18.754534&lng=98.921801&zoom=10.00&tab=active-str-listings
AirDNA. (2024b). Vacation rental data: Chiang Mai, Thailand. Retrieved from https://www.airdna.co/vacation-rental-data/app/th/default/chiang-mai/overview
Almeida, J., Oliveira, F. D., & Silva, J. B. E. (2021). Understanding short-term rental regulation: A case study of Lisbon (Portugal). Critical Housing Analysis, 8(1), 171-185. doi:10.13060/23362839.2021.8.1.533
Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Geographical Analysis, 27(2), 93-115. doi:10.1111/J.1538-4632.1995.TB00338.X
Arbel, A., & Pizam, A. (1977). Some Determinants of Urban Hotel Location: The Tourists' Inclinations. Journal of Travel Research, 15(3). doi:10.1177/004728757701500305
Ashworth, G. (1989). Accommodation and the Historic City. Built Environment, 15(2), 92-100. Retrieved from https://www.jstor.org/stable/23286293
Bárcena-Ruiz, J. C., Biscaia, R., Brekke, K. R., Casado-Izaga, F. J., Colombo, S., Gaspar, J. M., . . . Ye, G. (2020). Spatial Economics Volume I: Theory (S. Colombo Ed.). London: Palgrave Macmillan Cham.
Birinci, H., Berezina, K., & Cobanoglu, C. (2018). Comparing customer perceptions of hotel and peer-to-peer accommodation advantages and disadvantages. International Journal of Contemporary Hospitality Management, 30(2), 1190-1210. doi:10.1108/IJCHM-09-2016-0506
Caldeira, A. M., & Kastenholz, E. (2017). Tourists’ spatial behaviour in urban destinations: The effect of prior destination experience. Journal of Vacation Marketing, 24(3), 247-260. doi:https://doi.org/10.1177/1356766717706102
Canina, L., Enz, C., & Harrison, J. (2005). Agglomeration Effects and Strategic Orientations: Evidence From The U.S. Lodging Industry. The Academy of Management Journal, 48(4), 565-581. doi:https://www.jstor.org/stable/20159679
Cerezo-Medina, A., Romero-Padilla, Y., García-López, A., Navarro-Jurado, E., Sortino-Barrionuevo, J. F., & Guevara-Plaza, A. (2022). Comparative analysis of short-term rental homes and traditional accommodation in Andalusian tourist cities: intensity, density, and potential expansion areas. Current Issues in Tourism, 25(11), 1782-1797. doi:10.1080/13683500.2021.1983522
Chung, W., & Kalnins, A. (2001). Agglomeration effects and performance: a test of the Texas lodging industry. Strategic Management Journal, 22(10), 969-988. doi:10.1002/SMJ.178
Cocola-Gant, A., & Gago, A. (2021). Airbnb, buy-to-let investment and tourism-driven displacement: A case study in Lisbon. Environment and Planning A, 53(7), 1671-1688. doi:10.1177/0308518X19869012
Cró, S., & Martins, A. M. (2018). Hotel and hostel location in Lisbon: looking for their determinants. Tourism Geographies, 20(3), 504-523. doi:10.1080/14616688.2017.1360386
Davidson, N. M., & Infranca, J. (2016). The Sharing Economy as an Urban Phenomenon. Yale Law & Policy Review, 34(2). Retrieved from https://ssrn.com/abstract=2802907
DOPA. (2024a). Hotel system report. Retrieved from https://dpa.dopa.go.th/DPA/hotel_report.php
DOPA. (2024b). The notification of non-hotel accommodations. Retrieved from https://dpa.dopa.go.th/DPA/dpaCheckHotelDetail.php
Fang, L., Xie, Y., Yao, S.-j., & Liu, T. (2020). Agglomeration and/or differentiation at regional scale? Geographic spatial thinking of hotel distribution – a case study of Guangdong, China. Current Issues in Tourism, 24(10), 1358-1374 doi:10.1080/13683500.2020.1792852
Florax, R. J. G. M., & Nijkamp, P. (2005). Encyclopedia of Social Measurement. Amsterdam: Elsevier.
Franco, S. F., & Santos, C. D. (2021). The impact of Airbnb on residential property values and rents: Evidence from Portugal. Regional Science and Urban Economics, 88, 103667. doi:https://doi.org/10.1016/j.regsciurbeco.2021.103667
Gotham, K. (2005). Tourism Gentrification: The Case of New Orleans' Vieux Carre (French Quarter). Urban Studies, 42(7), 1099-1121. doi:https://doi.org/10.1080/004209805001208
Grisdale, S. (2021). Displacement by disruption: short-term rentals and the political economy of “belonging anywhere” in Toronto. Urban Geography, 42(5), 654-680. doi:10.1080/02723638.2019.1642714
Gutiérrez, A., & Domènech, A. (2020). Understanding the spatiality of short-term rentals in Spain: Airbnb and the intensification of the commodification of housing. Geografisk Tidsskrift-Danish Journal of Geography, 120(2), 98-113. doi:10.1080/00167223.2020.1769492
Gutiérrez, J. C., Palomares, J. C. G., Romanillos, G., & Salas-Olmedo, M. H. (2017). The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona. Tourism Management, 62, 278-291. doi:10.1016/J.TOURMAN.2017.05.003
Guttentag, D. (2015). Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism, 18(12), 1192-1217. doi:10.1080/13683500.2013.827159
Guttentag, D., & Smith, S. L. (2017). Assessing Airbnb as a disruptive innovation relative to hotels: Substitution and comparative performance expectations. International Journal of Hospitality Management, 64, 1-10. doi:10.1016/J.IJHM.2017.02.003
Gyódi, K. (2024). The spatial patterns of Airbnb offers, hotels and attractions: are professional hosts taking over cities? Current Issues in Tourism, 27(17), 2757-2782. doi:https://doi.org/10.1080/13683500.2023.2239428
Ioannides, D., Röslmaier, M., & van der Zee, E. (2019). Airbnb as an instigator of ‘tourism bubble’ expansion in Utrecht's Lombok neighbourhood. Tourism Geographies, 21(5), 822-840. doi:10.1080/14616688.2018.1454505
Khotcharee, Q., & Fukushima, S. (2022). Emergence of Peer-to-Peer Accommodation Sharing in Bangkok: The Case of Airbnb and Implications for Housing Market Distortion. Urban and Regional Planning Review, 9, 200-221. doi: https://doi.org/10.14398/urpr.9.200
La, L., Xu, F., Hu, M., & Xiao, C. (2021). Location of Airbnb and hotels: the spatial distribution and relationships. Tourism Review, 77(1), 209-224. doi:10.1108/TR-10-2020-0476
Lado-Sestayo, R., Vivel-Búa, M., & Otero-González, L. (2020). Connection between hotel location and profitability drivers: an analysis of location-specific effects. Current Issues in Tourism, 23(4), 452-469. doi:10.1080/13683500.2018.1538203
Lagonigro, R., Martori, J. C., & Apparicio, P. (2020). Understanding Airbnb spatial distribution in a southern European city: The case of Barcelona. Applied Geography, 115, 102136. doi:10.1016/J.APGEOG.2019.102136
Li, M., Fang, L., Huang, X., & Goha, C. (2014). A spatial–temporal analysis of hotels in urban tourism destination. International Journal of Hospitality Management, 45, 34-43. doi:10.1016/j.ijhm.2014.11.005
Nathiwutthikun, K. (2018). The Spatial Configuration of the Heritage Area and Guesthouse Accessibility in Muang Chiang Mai, Thailand (Final report in Thai): Thailand Science Research and Innovation (TSRI).
Nieuwland, S., & van Melik, R. (2020). Regulating Airbnb: how cities deal with perceived negative externalities of short-term rentals. Current Issues in Tourism, 23(7), 811-825. doi:10.1080/13683500.2018.1504899
Pongpatcharatrontep, D. (2019). An Analysis of Chinese Tourists Behavior and Satisfaction to Support Thai Tourism 4.0 (Report in Thai): National Commission on Science, Research and Innovation Promotion (CSRP).
Sangkaew, N., & Phucharoen, C. (2018). The Performance Analysis of Hotels in Various Destinations Across Thailand. Chulalongkorn Business Review, 40(157), 49-78. Retrieved from https://so01.tci-thaijo.org/index.php/CBSReview/article/view/151584
Shabrina, Z., Buyuklieva, B., & Ng, M. K. M. (2021). Short-Term Rental Platform in the Urban Tourism Context: A Geographically Weighted Regression (GWR) and a Multiscale GWR (MGWR) Approaches. Geographical Analysis, 53(4), 686-707. doi:https://doi.org/10.1111/gean.12259
Shoval, N. (2006). The Geography of Hotels in Cities: An Empirical Validation of a Forgotten Model. Tourism Geographies, 8(1), 56-75. doi:10.1080/14616680500392499
Shoval, N., McKercher, B., Ng, E., & Birenboim, A. (2011). Hotel location and tourist activity in cities. Annals of Tourism Research, 38(4), 1594-1612. doi:10.1016/J.ANNALS.2011.02.007
Sun, S., Wang, X., & Hu, M. (2022). Spatial distribution of Airbnb and its influencing factors: A case study of Suzhou, China. Applied Geography, 139, 102641. doi:https://doi.org/10.1016/j.apgeog.2022.102641
Sun, S., Zhang, S., & Wang, X. (2021). Characteristics and influencing factors of Airbnb spatial distribution in China’s rapid urbanization process: A case study of Nanjing. PloS one, 16(3), 1-19. doi:https://doi.org/10.1371/journal.pone.0248647
Tobler, W. R. (1970). A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 46, 234-240. doi:https://doi.org/10.2307/143141
Tussyadiah, I. P., & Pesonen, J. (2016). Impacts of Peer-to-Peer Accommodation Use on Travel Patterns. Journal of Travel Research, 55(8), 1022–1040. doi:10.1177/0047287515608505
Urtasun, A., & Gutiérrez, I. (2006). Hotel location in tourism cities: Madrid 1936–1998. Annals of Tourism Research, 33(2), 382-402. doi:10.1016/J.ANNALS.2005.12.008
Valenzuela-Ortiz, A., Chica-Olmo, J., & Castañeda, J. (2022). Location factors and agglomeration economies in the hotel industry: the case of Spain. European Journal of Management and Business Economics, Ahead-of-print. doi:https://doi.org/10.1108/EJMBE-10-2021-0273
Wachsmuth, D., & Weisler, A. (2018). Airbnb and the rent gap: Gentrification through the sharing economy. Environment and Planning A: Economy and Space, 50(6), 1147-1170. doi:10.1177/0308518X18778038
Wen, X., Fu, D., Diao, Y., Wang, B., Gao, X., & Jiang, M. (2023). Exploring the Relationship between Touristification and Commercial Gentrification from the Perspective of Tourist Flow Networks: A Case Study of Yuzhong District, Chongqing. Sustainability, 15(16), 12577. doi:https://doi.org/10.3390/su151612577
Xie, K. L., Kwok, L., & Heo, C. (2020). Are Neighbors Friends or Foes? Assessing Airbnb Listings’ Agglomeration Effect in New York City. Cornell Hospitality Quarterly, 61(2), 128–141. doi:10.1177/1938965519890578
Xu, F., Hu, M., La, L., Wang, J., & Huang, C. (2020). The influence of neighbourhood environment on Airbnb: a geographically weighted regression analysis. Tourism Geographies, 51, 105-118. doi:10.1080/14616688.2019.1586987
Yang, Y., & Mao, Z. (2019). Welcome to My Home! An Empirical Analysis of Airbnb Supply in US Cities. Journal of Travel Research, 58(8), 1274–1287. doi:10.1177/0047287518815984
Yang, Y., & Mao, Z. (2020). Location advantages of lodging properties: A comparison between hotels and Airbnb units in an urban environment. Annals of Tourism Research, 81, 102861. doi:10.1016/J.ANNALS.2020.102861
Yang, Y., Wong, K. K. F., & Wang, T. (2012). How do hotels choose their location? Evidence from hotels in Beijing. International Journal of Hospitality Management, 31(3), 675-685. doi:10.1016/J.IJHM.2011.09.003
Zervas, G., Proserpio, D. M., & Byers, J. W. (2017). The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry. Journal of Marketing Research, 54(5). doi:10.1509/JMR.15.0204
ดาวน์โหลด
เผยแพร่แล้ว
รูปแบบการอ้างอิง
ฉบับ
ประเภทบทความ
สัญญาอนุญาต
ลิขสิทธิ์ (c) 2025 สิ่งแวดล้อมสรรค์สร้างวินิจฉัย
อนุญาตภายใต้เงื่อนไข Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ทัศนะและข้อคิดเห็นของบทความที่ปรากฏในวารสารฉบับนี้เป็นของผู้เขียนแต่ละท่าน ไม่ถือว่าเป็นทัศนะและความรับผิดชอบของกองบรรณาธิการ
